Physical Activity Levels of Adults in Two Counties of Hungary in View of Sociodemographic Inequalities

Makai, Alexandra; Füge, Kata; Breitenbach, Zita; Figler, Mária

doi:10.5114/hpc.2016.61365

Cited by 7 publications

(7 citation statements)

References 19 publications

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“…As reported, the participants showed 39.7% high, 41.1% moderate, and 19.2% low levels of physical activity in our study, while Bácsné [ 14 ] reported a 63.40% high level of physical activity in a large Hungarian sample. Makai and her colleagues [ 13 ] also found a high value of vigorous PA by surveying the adult population in two counties. Nevertheless, our result is still more favorable than the global trends [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, it seems the Hungarian population engages less in easier exercise, but people who regularly take part in some form of physical activity do this at a higher intensity and more frequently than the European average. Previous Hungarian studies showed a relatively high level of vigorous physical activity (over 61–63%), but these studies might not present a realistic picture of the population due to their data collection [ 13 , 14 ]. Even though there is some improvement in physical activity, the Hungarian population is still one of the most overweight countries in the European Union.…”

Section: Introductionmentioning

confidence: 99%

“…The influence of sociodemographic factors on physical activity was proven in previous studies. According to the Hungarian National Population Health Survey [ 16 ], the individuals engaging in regular physical activity were characterized as male, younger adult, higher educated, and single, with a high socioeconomic status [ 13 , 17 ]. Low socioeconomic status reduces the willingness and the opportunities to participate in sports or physical activity, since an essential precondition for physical activity is the availability of free time, disposable income, reasonable living standards, and the access to different sports services [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

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Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index

Győri

Berki

Katona

et al. 2021

IJERPH

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This study explores the level of physical activity and its associations with sociodemographics and body mass index (BMI) in the Southern Great Plain region of Hungary. A total of 1648 adults (Men = 572; Women = 1076) were involved in this study. Their mean age was 43.0 (SD = 15.3), and they were recruited at different face-to-face events from July 2018 to January 2019. The International Physical Activity Questionnaire (IPAQ) was used to assess physical activity, and the participants were asked different questions related to their sociodemographics (e.g., education, income) and physical attributes (e.g., height, weight). Additionally, a descriptive statistical, chi-square test was used the see the gender differences, and multinominal regression analysis was used to see the associations between gender, age, place of residence, education, income, BMI, and physical activity levels. Our analysis showed that 19.2% of the sample had a low-, 41.1% had a moderate-, and 39.7% had a high level of physical activity. Furthermore, a high and a moderate level of physical activity were associated with gender, age, residence, education, and BMI. We believe this present study helps understand the role of physical activity in health through the example of the Southern Great Plain region of Hungary, which can provide useful information for experts to increase participation in regular physical activity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index

Győri

Berki

Katona

et al. 2021

IJERPH

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“…The participants with terciary education were more active than others, which was confirmed by other studies that examined the effect of education on physical activity level. Secondary or lower education means more activitites in work time because of the type of work but the amount of physical activity in leisure time activitites were proven to be higher in case of persons with high education [21,43,[45][46][47][48][49][50][51]. Education is tightly bound to financial status and work type.…”

Section: Discussionmentioning

confidence: 99%

The effect of a community-based e-health program to promote the role of physical activity among healthy adults in Hungary

et al. 2020

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Background Physically active lifestyle can prolong the years spent without chronic diseases and is strongly associated with good mental and physical health. The goal of the study was to examine the physical activity patterns of the healthy adults and the effectiveness of a community-based e-health program. Methods The study sample comprised of 633 participants. Analyses were based on the E-Harmony health program that was conducted in Hungary in 2014–2015. The longitudinal study measured the physical activity patterns of the healthy adult population, and a 12-month community-based internet and media program was evaluated for the target group to improve the physical activity level and related knowledge. We examined the effectiveness of the program by the International Physical Activity Questionnaire – Hungarian validated long version adjusting for socio-demographic parameters, also across multivariate linear regression analysis using SPSS 24.0 software. Confidence interval of 95% was used and the level of significance was p < 0.05. Results The total physical activity of the study sample was 5129.9 (SD = 4488.1) MET min/week. Male participants scored higher in total activity but the results showed no statistical significance. Our participants were sitting 2211.6 (SD = 1592.8) min /week on average (daily average was 315.9 (SD = 227.6) minutes); the results showed no statistically significant difference by gender. We found weak but significant relationship between the active lifestyle and anthropometric data, especially according to leisure time activities and sedentary behaviour ( p < 0.001). Based on the multivariate linear regression models the socio-demographic parameters significantly affected the physical activity level of participants. After the 12-month community-based e-health program, 10.34% changes occurred in the total physical activity level ( p < 0.001). Conclusions To our knowledge, ours was the first community-based e-health program in Hungary to improve the physical activity level of the healthy adult population. Based on our results this web-based e-health program can be an adequate tool to promote healthy lifestyle. The study could provide appropriate information for the further health interventions and policy making. Further research is necessary to determine the special risk groups and to develop an applicable e-health program for such specific subgroups.

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“…Physical activity is closely connected to health status and quality of life [2,3]. Low quality of life and inappropriate health status are often associated with low levels of physical activity or inactivity at the same time; an active lifestyle plays a preventional role in one's life [4]. In health and lifestyle studies related to health, young people are an under-researched group and there are few studies on the health of students from universities and other institutions.…”

Section: Introductionmentioning

confidence: 99%

Study on the health status of students in higher medical education

Petreanu

2021

Timisoara Physical Education and Rehabilitation Journal

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Introduction The health benefits of regular physical activity are clear. More students should engage in physical activity every day of the week. Participating in physical activity from the sport lessons is very safe for most students. Aim In this study we want to ascertain the health status of the students at the beginning of the academic year, in order to have a more efficient didactic design and to identify the possible medical conditions that can generate health risks during physical exercises. Methods The study was performed using the PARQ+ questionnaire (The Physical Activity Readiness Questionnaire) and body mass index. These were applied to a number of 235 subjects, students in higher medical education. Results The results showed that 71.07% of the students have no health problems and are fit for physical effort, and 28.93% of them were identified with various activity-limiting medical conditions. The results obtained by calculating the BMI show us that 69.79% of the subjects are in the normal weight category. Conclusion In conclusion, for most students, physical activity does not involve any risk. Taking into account the high percentage of those with different conditions, knowing the health status of students should represent an important milestone in the activity of teachers, and help them eliminate the risk factors. Thus, almost 3 out of 10 students should check with a doctor about the risks associated with exercising before they begin to become more physically active.

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Physical Activity Levels of Adults in Two Counties of Hungary in View of Sociodemographic Inequalities

Cited by 7 publications

References 19 publications

Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index

Physical Activity in the Southern Great Plain Region of Hungary: The Role of Sociodemographics and Body Mass Index

The effect of a community-based e-health program to promote the role of physical activity among healthy adults in Hungary

Study on the health status of students in higher medical education

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